Software Development
API & platform builds
We build the back ends your products run on: APIs, integrations, data models and admin tools, designed to be secure, documented and ready for the next product you haven't thought of yet.
One platform
Secure · Documented · VersionedIs this for you?
You’ll get value from this if…
- Several apps each talk to your data in their own way
- Integrations with partners or internal systems keep breaking
- You need a public or partner API
- The back end has become the bottleneck for every new feature
Benefits
What changes for your business
One source of truth
Every app and partner reads the same data through the same rules.
Faster new products
New front ends plug into a stable back end instead of starting over.
Secure by design
Authentication, permissions and audit trails built in from the start.
What you get
What we deliver
API design
A clear, versioned contract agreed before build.
Services and data model
The back end itself, with authentication, permissions and audit trails.
Integrations
Connections to payment, CRM, ERP and other third-party systems.
Documentation
Reference docs and examples so other teams can build on it.
How it works
From first call to running in production
- 01
Model
Map the data and the operations each client needs.
- 02
Contract
Design and agree the API before writing it.
- 03
Build
Implement with tests, security and observability built in.
- 04
Document
Publish docs and support the first integrations.
Example applications
What this looks like in practice
Typical applications of this service. Illustrative, not client case studies.
- 01A shared API behind web and mobile apps
- 02Partner or public APIs with documentation
- 03Payment, CRM and ERP integrations
- 04Admin panels and internal back-office tools
Technology
Tools we work with
- Node.js
- Laravel
- Python
- PostgreSQL
- REST
- GraphQL
- Docker
Why Bitfumes
Built by engineers who ship
Senior team, no hand-offs
The engineers on your first call are the ones who build your product.
10+ years of engineering leadership
Led by Sarthak Shrivastava, Docker Captain, AWS Certified Solutions Architect, AWS Certified Developer.
We teach this for a living
156K+ developers learn from our founder on YouTube, and 100K+ on Udemy.
Production, not prototypes
Tests, monitoring and handover are part of every build, not extras.
How to start
From first conversation to production
- 1
Talk to us
Tell us the problem. We come back with a straight view on whether it is worth building.
Get in touch - 2
Build
A senior team embeds with yours and ships in short cycles, with a demo every week.
- 3
Run and improve
We hand over cleanly, or stay on to monitor, support and extend what we built.
FAQs
Common questions
REST or GraphQL?
Whichever fits how the API will be used. We explain the trade-off for your case rather than defaulting to one.
Can you work with our existing database?
Yes. We usually build on what you have and migrate only where there is a clear reason.
How do you handle security?
Authentication, role-based permissions, input validation and audit logging are part of the design from the start, not added at the end.
Will the API handle growth?
We design for your expected load with room to grow, and add caching, queues and scaling where the numbers call for it.
Can AI features use the same API?
Yes. A well-designed API is also what lets AI agents and assistants act on your data safely.
Insights
Related reading
- EngineeringMCP: stop building the same AI integration five times.Every AI assistant your team adds needs the same connection to your order database, your CRM, your ticket queue — built again, in a different SDK. Model Context Protocol lets you build that connection once.Read
- EngineeringAI in production: the checklist most teams skip.Getting a demo working is the easy 20%. Here's what separates a prototype from something you can trust running unattended in front of customers.Read
Next step
Want this built into your business, not just explained?
Tell us the problem and we'll come back within one business day with a straight view on whether AI is worth it for you, and what it would take to build.
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